比赛与健身制服选择
Tournament versus Fitness Uniform Selection
摘要：
在进化算法中，必须调整的一个关键参数是选择压力。如果它被设置得太低，那么向最优值收敛的速率可能会很慢。或者，如果选择压力设置得太高，则系统可能由于群体中多样性的损失而陷入局部最优。最近的适应度统一选择方案（FUSS）是一个概念简单，但有点激进的方法来解决这个问题-而不是偏向选择更高的适应度，FUSS偏向选择稀疏人口的适应度水平。在本文中，我们比较了FUSS的相对性能与众所周知的比赛选择计划的一系列问题。
英文摘要：
In evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too low then the rate of convergence towards the optimum is likely to be slow. Alternatively if the selection pressure is set too high the system is likely to become stuck in a local optimum due to a loss of diversity in the population. The recent Fitness Uniform Selection Scheme (FUSS) is a conceptually simple but somewhat radical approach to addressing this problem - rather than biasing the selection towards higher fitness, FUSS biases selection towards sparsely populated fitness levels. In this paper we compare the relative performance of FUSS with the well known tournament selection scheme on a range of problems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
